On the lack of Gaussian tail for rough line integrals along fractional Brownian paths
From MaRDI portal
Publication:6193774
DOI10.1007/s00440-023-01242-4arXiv2206.12161OpenAlexW4388110253MaRDI QIDQ6193774
Publication date: 19 March 2024
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2206.12161
Fractional processes, including fractional Brownian motion (60G22) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Rough paths (60L20)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On probability laws of solutions to differential systems driven by a fractional Brownian motion
- Integrability and tail estimates for Gaussian rough differential equations
- A simple proof of distance bounds for Gaussian rough paths
- The uniqueness of signature problem in the non-Markov setting
- A variation embedding theorem and applications
- Differential equations driven by rough signals
- Stochastic analysis, rough path analysis and fractional Brownian motions.
- Small ball probabilities for Gaussian processes with stationary increments under Hölder norms
- Differential equations driven by rough signals. I: An extension of an inequality of L. C. Young
- Upper bounds for the density of solutions to stochastic differential equations driven by fractional Brownian motions
- Convergence rates for the full Gaussian rough paths
- Multiple fractional integral with Hurst parameter less than \(\frac {1}{2}\)
- The Malliavin Calculus and Related Topics
- Multidimensional Stochastic Processes as Rough Paths
This page was built for publication: On the lack of Gaussian tail for rough line integrals along fractional Brownian paths